CN107172558A - A kind of novel horn fault detection method - Google Patents

Abstract

A kind of novel horn fault detection method, realizing the system of the detection method includes power amplifier module, sampling module, analysis module and excitation module；The fault detection method includes following process：The audio signal of fixed frequency is played, while the volume set is consistent when will be with generation loudspeaker detection a reference value；Module is encouraged to send pumping signal, the audio signal of fixed amplitude fixed frequency is amplified processing by power amplifier module reception after coming from the pumping signal of excitation module, and is exported on loudspeaker；Voltage signal between sampling module collection loudspeaker two ends, each sampling period takes n point, every m milliseconds of samplings once, samples altogether k cycle, and identical sample size is gathered during with generation loudspeaker detection a reference value；Analysis module, which is analyzed and compared to the voltage signal collected, obtains fiducial value, fiducial value is compared with loudspeaker detection a reference value, so that it may distinguish the state of loudspeaker.It is preferable, easy to use that the present invention proposes flexibility.

Description

A new type of horn fault detection method

technical field

The invention relates to the field of horn fault detection, in particular to a horn fault detection method.

Background technique

In various means of transportation such as vehicles, trains, subways and ships, in order to provide passengers with more convenient services, horns are generally equipped in these means of transportation. The speaker is mainly used for voice announcement or playing multimedia audio. However, in the existing public transport system, there is no detection system to judge whether the horn is good or bad after the horn is installed, and it depends on manual inspection to find and report. If no one detects, it is impossible to determine the status of the horn. However, in the current public transport system, after the horn is used for a long time or used in a harsh environment, the probability of its failure is greatly increased. Usually, if the horn breaks down, the relevant staff cannot get the news and repair it at the first time, and usually have to wait until the inspection personnel find out before it can be maintained. When the speaker fails, it will affect the normal playback of audio, such as bus language, safety reminders, multimedia audio, etc., which will cause unnecessary losses to related companies and affect the experience of passengers. Therefore, it can only be identified manually The state of the horn.

In current vehicles, the car horn system does not carry out intelligent detection, so there is a disadvantage: the work of the car audio playback system is affected by the car horn system, so the status of the car speaker directly affects the function and effect of the car audio system.

In terms of speaker fault detection, the publication number is CN201410132934, which invented the air tightness detection of the rear cavity of the speaker, which uses the voltage value at both ends of the speaker to compare with the threshold value, so as to determine whether the tympanic membrane of the speaker is damaged. This method detects the airtightness of the tympanic membrane of the horn, and cannot detect whether the horn is short-circuited or broken.

Contents of the invention

In order to overcome the defects of single function and poor flexibility in the existing speaker fault detection method, the present invention provides a novel speaker fault detection method with good flexibility and convenient use.

The technical solution adopted by the present invention to solve its technical problems is:

A novel speaker fault detection method, the system for realizing the detection method includes a power amplifier module, a sampling module, an analysis module and an excitation module;

Described fault detection method comprises following process: play the audio frequency signal of fixed frequency, and the fixed frequency is consistent with the frequency that adopts when generating the speaker detection reference value, and the volume that is set simultaneously will be consistent with generating the speaker detection reference value; Excitation module sends excitation signal, After receiving the excitation signal from the excitation module, the power amplifier module amplifies the audio signal with fixed amplitude and fixed frequency, and outputs it on the speaker; the sampling module collects the voltage signal between the two ends of the speaker, and takes n points in each sampling period. Sampling once every m milliseconds, a total of k sampling cycles, the same number of samples as when generating the speaker detection reference value; the analysis module analyzes and compares the collected voltage signals to obtain a comparison value, and compares the comparison value with the speaker detection reference value By comparison, the state of the horn can be identified.

Further, the speaker detection reference value is a reference interval value, and in the analysis module, the comparison value is compared with the reference interval value, if it is within the reference value interval, then the speaker is intact; if it is not within the interval, then the speaker is abnormal.

Still further, the generation process of the speaker detection reference value is as follows: firstly play a section of audio with a fixed frequency for t seconds, then sample and analyze the audio data to obtain the reference value of the speaker detection, which can be used to judge whether the speaker is normal.

Furthermore, during the generation of the speaker detection reference value, the excitation module forms an excitation signal and sends the excitation signal, and the excitation signal is a fixed-frequency audio signal; the power amplifier module receives the excitation signal from the excitation module, and then stimulates the The signal is amplified and output to the speaker; the sampling module collects the voltage signal between the two ends of the speaker, takes n points in each sampling period, samples once every m milliseconds, and samples k cycles in total; the analysis module performs a process on the collected data Statistics and analysis form the benchmark value for speaker detection.

The excitation signal sent by the excitation module is a sine wave or a square wave.

Sampling for k periods, the average value of the sampling signal is analyzed and processed to obtain the range interval of the reference value, and this interval is used as the reference value of the horn detection, as the basis for distinguishing the state of the horn.

The beneficial effects of the invention are mainly manifested in that: the airtightness of the tympanic membrane of the horn can be detected, and at the same time, whether the horn is short-circuited or broken; the utility model has better flexibility and is convenient to use.

Description of drawings

FIG. 1 is a schematic diagram of a speaker fault detection system.

Fig. 2 is a flowchart for forming a reference value.

Fig. 3 is a flow chart of the fault detection of the new speaker.

detailed description

The present invention will be further described below in conjunction with the accompanying drawings.

With reference to Fig. 1～Fig. 3, a kind of novel loudspeaker fault detection method, the system that realizes described detection method includes power amplifier module A, sampling module B, analysis module C and excitation module D; It should be noted that, in actual use process, It is mainly composed of two parts: generating a reference value for checking the normality of the speaker and detecting the state of the speaker.

Generation of speaker detection reference value: first, the system plays a fixed frequency (such as 1OHZ) audio for t seconds, and the system samples and analyzes the audio data to obtain the speaker detection reference value, which can be used to judge whether the speaker is normal . During the generation of the reference value, the excitation module D forms an excitation signal and transmits the excitation signal, which is an audio signal with a fixed frequency. The power amplifier module A receives the excitation signal from the excitation module D, then amplifies the excitation signal, and outputs it to the speaker. Sampling module B collects the voltage signal between the two ends of the speaker, takes n points in each sampling period, and samples once every m milliseconds, and samples k periods in total. The analysis module C performs statistics and analysis on the collected data to form a benchmark value for speaker detection. The excitation signal sent by the excitation module D may be a sine wave, a square wave or other waveforms. If the excitation signal is a sine wave, then the signal collected by the sampling module B is a sine wave. At this time, the voltage signal sampled on the speaker fluctuates with time. Therefore, in order to accurately form the speaker detection reference value, the system will sample k cycles. Analyze a large amount of sampled data and get a baseline value. At the same time, the initial phase of sampling in each cycle will have a deviation, so the voltage signal collected each time will have a deviation, and the reference value will also have a deviation. In order to ensure the accuracy of the detection, the average value of the sampled signal is analyzed and processed to obtain the range interval of the reference value. The system takes this interval as the horn detection reference value c, as the basis for distinguishing the horn state. In addition, the speaker sampling voltage signal will change with the change of the speaker volume, so when the speaker detection reference value is generated, the system volume needs to be set to a fixed value b.

During the detection of the speaker intelligent detection system, the system plays an audio signal with a fixed amplitude and fixed frequency (such as 10HZ), and the volume set by the system should be consistent with the generation of the speaker detection reference value (the volume set by the two systems should be the same, and the volume is the same as b ). The excitation module D is used to send the excitation signal, and the power amplifier module A receives the excitation signal from the excitation module D, amplifies the audio signal with fixed amplitude and fixed frequency, and outputs it on the speaker. Sampling module B collects the voltage signal between the two ends of the speaker, takes n points in each sampling period, and samples once every m milliseconds, for a total of k sampling periods, which is the same number of samples as when generating the speaker detection reference value. The analysis module C analyzes and compares the collected voltage signals to obtain a comparison value, and compares the comparison value with the reference value to identify the state of the speaker.

When the speaker fails, such as short circuit or open circuit, the collected voltage signal will change obviously. Compare the comparison value with the reference value interval value c, if it is within the reference value interval, then the horn is intact; if it is not within the interval, then the horn is abnormal.

After the system detects the speaker, it obtains the status of the speaker, and uploads the status of the speaker to the system through the network. Relevant personnel can obtain the status of the speaker in the system or the operation background, which is convenient for the relevant personnel to know the status of the speaker in time, and replace the defective speaker in time to ensure the normal operation of the audio system.

The method for detecting a speaker fault in this embodiment, as shown in FIG. 1 , the system for realizing the method mainly consists of four components, namely, a power amplifier module A, a sampling module B, an analysis module C, and an excitation module D. Among them, the power amplifier module A amplifies the audio signal and outputs the signal to the speaker; the sampling module B collects the voltage signal of the positive and negative terminals of the speaker; the analysis module C calculates the average value of the collected voltage signal. The excitation module D is used to send sound audio samples; the power amplifier module A, the sampling module B, the analysis module C, and the excitation module D appear in independent physical forms, combined physical forms or overall physical forms; therefore, in the description of the present invention , they are four separate functional modules.

The benchmark value of speaker detection in the present invention is formed, as shown in FIG. 2 . In this example, the formation of the speaker detection reference value is mainly composed of four parts: sending excitation signal, sampling initial value, statistical initial value and saving reference value. When the loudspeaker intelligent detection system starts, at first the fixed volume is set, and the fixed volume is 20 in the present embodiment; Then the system sends an excitation signal by the excitation module D, and this excitation signal is an audio signal of a fixed amplitude and a fixed frequency, wherein in this embodiment The frequency of the audio signal is 10 Hz, and the audio signal in this embodiment is a sine wave signal. In this embodiment, k cycles are sampled, n signals are sampled in each cycle, and the total sampling time is t seconds. After the system performs statistics and analysis on the collected data, the initial value of the benchmark is obtained. Since the initial phase of the sample taken in each cycle is different, the data acquired each time will have deviations. Through the analysis and comparison of a large number of sampling data, the horn detection reference value interval is obtained, and this interval value is used as the judgment basis of the horn detection reference value, and the system saves this reference value interval.

The loudspeaker fault detection stage in the present invention is shown in FIG. 3 . When the system detects the speaker, at first the excitation module D sends the excitation signal. At this time, the excitation signal should be consistent with the generation of the speaker detection reference value. The amplitude and frequency of the two signals should be consistent. In this embodiment, the frequency of the audio signal is 10Hz , and the audio signal in this embodiment is a sine wave signal. Since the volume will also affect the sampling signal, the volume when the system detects the speaker should be consistent with the volume when the system generates the reference value for speaker detection. In this embodiment, both volumes are set to 20. In the embodiment, k cycles are sampled, n signals are sampled in each cycle, and the total sampling time is t seconds, which is consistent with the formation of the speaker detection reference value. After the system counts and analyzes the collected data, it obtains the detection value of the system detection horn.

The speaker intelligent detection system compares the detection value with the reference value interval c, if the detection value is within the reference value interval c, then it is judged that the speaker is in good condition; if the detection value is not within the reference interval c, then it is judged that the speaker is faulty and the speaker needs to be replaced. The system feeds back the detection results to the relevant staff through the network, so that the staff can know the status of the speaker in time and ensure the good operation of the system.

This example is implemented on a bus, which can realize the function of intelligent detection of the horn in the bus. The speaker intelligent detection system can effectively detect the status of the speaker, avoid unnecessary economic losses, and at the same time provide a better experience for passengers.

Finally, it should also be noted that what is listed above are only specific embodiments of the present invention. Obviously, the present invention is not limited to the above embodiments, and many variations are possible. All deformations that can be directly derived or associated by those skilled in the art from the content disclosed in the present invention should be considered as the protection scope of the invention.

Claims (6)

1. a kind of novel horn fault detection method, it is characterised in that：Realize the detection method system include power amplifier module, Sampling module, analysis module and excitation module；

The fault detection method includes following process：Play the audio signal of fixed frequency, fixed frequency and generation loudspeaker inspection The frequency used during a reference value is surveyed consistent, while the volume set is consistent when will be with generation loudspeaker detection a reference value；Encourage module Pumping signal is sent, power amplifier module believes the audio of fixed amplitude fixed frequency after receiving the pumping signal for coming from excitation module Processing number is amplified, and is exported on loudspeaker；Voltage signal between sampling module collection loudspeaker two ends, each sampling period adopts N point is taken, every m milliseconds of samplings once, is sampled altogether k cycle, identical sample is gathered during with generation loudspeaker detection a reference value This quantity；Analysis module analyze obtaining fiducial value to the voltage signal collected, and fiducial value and loudspeaker are detected into a reference value It is compared, so that it may distinguish the state of loudspeaker.

2. novel horn fault detection method as claimed in claim 1, it is characterised in that：The loudspeaker detection a reference value is base In quasi- interval value, the analysis module, fiducial value is compared with benchmark interval value, if in a reference value is interval, loudspeaker are complete It is good；If not in interval, loudspeaker are abnormal.

3. novel horn fault detection method as claimed in claim 1 or 2, it is characterised in that：The loudspeaker detect a reference value Generating process it is as follows：The audio of one section of fixed frequency is played first, and reproduction time t seconds is sampled and divided to voice data Analysis is so as to obtain a reference value of loudspeaker detection, and a reference value can be used to judge whether loudspeaker are normal.

4. novel horn fault detection method as claimed in claim 3, it is characterised in that：In loudspeaker detection a reference value life Into period, excitation module forms pumping signal and sends the pumping signal, and the pumping signal is exactly the audio letter of fixed frequency Number；Power amplifier module receives the pumping signal for coming from excitation module, and then this pumping signal is amplified, and is output to Loudspeaker；Voltage signal between sampling module collection loudspeaker two ends, each sampling period takes n point, every m milliseconds of samplings one It is secondary, sample altogether k cycle；Analysis module is counted and analyzed to the data gathered, forms a reference value of loudspeaker detection.

5. novel horn fault detection method as claimed in claim 4, it is characterised in that：The excitation that the excitation module is sent Signal is sine wave or square wave.

6. novel horn fault detection method as claimed in claim 4, it is characterised in that：Sample k cycle, sampled signal Average value is analyzed and handled, and obtains a reference value range intervals, and this is interval as loudspeaker detection a reference value, is used as and is distinguished loudspeaker The foundation of state.